NAACL

ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis

Zeao Tu, Xiangdi Meng, Yu He, Zihan Yao, Tianyu Qi, Jun Liu, Ming Li

Comments Accepted by NAACL 2025 Findings

Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification framework

Aman Tiwari, Shiva Krishna Reddy Malay, Vikas Yadav, Masoud Hashemi, Sathwik Tejaswi Madhusudhan

Comments Accepted at NAACL 2025 main conference

CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models

Shangda Wu, Yashan Wang, Ruibin Yuan, Zhancheng Guo, Xu Tan, Ge Zhang, Monan Zhou, Jing Chen, Xuefeng Mu, Yuejie Gao, Yuanliang Dong, Jiafeng Liu, Xiaobing Li, Feng Yu, Maosong Sun

Comments 17 pages, 10 figures, 4 tables, accepted by NAACL 2025

Navigating the Cultural Kaleidoscope: A Hitchhiker's Guide to Sensitivity in Large Language Models

Somnath Banerjee, Sayan Layek, Hari Shrawgi, Rajarshi Mandal, Avik Halder, Shanu Kumar, Sagnik Basu, Parag Agrawal, Rima Hazra, Animesh Mukherjee

Comments Accepted at NAACL 2025 (Main track). [Project Page](https://neuralsentinel.github.io/KaleidoCulture/)

A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches

Gaurav Sahu, Olga Vechtomova, Issam H. Laradji

Comments Accepted to NAACL 2025 (Findings)

ReasVQA: Advancing VideoQA with Imperfect Reasoning Process

Jianxin Liang, Xiaojun Meng, Huishuai Zhang, Yueqian Wang, Jiansheng Wei, Dongyan Zhao

Comments Accepted to main conference at NAACL 2025; 8 pages;

GloCOM: A Short Text Neural Topic Model via Global Clustering Context

Quang Duc Nguyen, Tung Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen

Comments Accepted to NAACL 2025

Cross-lingual Transfer of Reward Models in Multilingual Alignment

Jiwoo Hong, Noah Lee, Rodrigo Martínez-Castaño, César Rodríguez, James Thorne

Comments Accepted to NAACL 2025

ToVo: Toxicity Taxonomy via Voting

Tinh Son Luong, Thanh-Thien Le, Thang Viet Doan, Linh Ngo Van, Thien Huu Nguyen, Diep Thi-Ngoc Nguyen

Comments Findings of NAACL 2025

DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation

Jingwei Ni, Tobias Schimanski, Meihong Lin, Mrinmaya Sachan, Elliott Ash, Markus Leippold

Comments NAACL 2025 Long

IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models

David Ifeoluwa Adelani, Jessica Ojo, Israel Abebe Azime, Jian Yun Zhuang, Jesujoba O. Alabi, Xuanli He, Millicent Ochieng, Sara Hooker, Andiswa Bukula, En-Shiun Annie Lee, Chiamaka Chukwuneke, Happy Buzaaba, Blessing Sibanda, Godson Kalipe, Jonathan Mukiibi, Salomon Kabongo, Foutse Yuehgoh, Mmasibidi Setaka, Lolwethu Ndolela, Nkiruka Odu, Rooweither Mabuya, Shamsuddeen Hassan Muhammad, Salomey Osei, Sokhar Samb, Tadesse Kebede Guge, Tombekai Vangoni Sherman, Pontus Stenetorp

Comments Accepted to NAACL 2025 (main conference)

Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers

Akshit Achara, Anshuman Chhabra

Comments Accepted to NAACL 2025 Main Conference

RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question Answering

Yang Bai, Christan Earl Grant, Daisy Zhe Wang

Comments Accepted by NAACL 2025 Findings

LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain

Joel Niklaus, Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M. Rosen, Peter Henderson, Daniel E. Ho, Garrett Honke, Percy Liang, Christopher Manning

Comments Accepted at Findings of NAACL 2025

Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health records

Angelo Ziletti, Leonardo D'Ambrosi

Comments 6 pages, 1 figure

Journal ref NAACL 2024 Clinical NLP Workshop

Medical Coding with Biomedical Transformer Ensembles and Zero/Few-shot Learning

Angelo Ziletti, Alan Akbik, Christoph Berns, Thomas Herold, Marion Legler, Martina Viell

Comments NAACL-HLT 2022 Industry Track

Journal ref Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track

GLiREL -- Generalist Model for Zero-Shot Relation Extraction

Jack Boylan, Chris Hokamp, Demian Gholipour Ghalandari

Comments Submitted to NAACL 2025

Prompt-Singer: Controllable Singing-Voice-Synthesis with Natural Language Prompt

Yongqi Wang, Ruofan Hu, Rongjie Huang, Zhiqing Hong, Ruiqi Li, Wenrui Liu, Fuming You, Tao Jin, Zhou Zhao

Comments Accepted by NAACL 2024 (main conference)

The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education

Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai

Comments NAACL 2024

XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners

Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang

Comments Accepted by NAACL 2024

RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization

Dongqi Liu, Vera Demberg

Comments NAACL 2024 Main & Long Conference Paper (Oral Presentation)

Evaluation and Continual Improvement for an Enterprise AI Assistant

Akash V. Maharaj, Kun Qian, Uttaran Bhattacharya, Sally Fang, Horia Galatanu, Manas Garg, Rachel Hanessian, Nishant Kapoor, Ken Russell, Shivakumar Vaithyanathan, Yunyao Li

Comments Accepted to DaSH Workshop at NAACL 2024

What Drives Performance in Multilingual Language Models?

Sina Bagheri Nezhad, Ameeta Agrawal

Comments Accepted at VarDial @ NAACL 2024

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

Guanghui Qin, Jason Eisner

Comments NAACL-HLT 2021 camera-ready

Journal ref NAACL-HLT 2021

Reducing hallucination in structured outputs via Retrieval-Augmented Generation

Patrice Béchard, Orlando Marquez Ayala

Comments To be presented at NAACL 2024. 11 pages and 4 figures

Journal ref 2024.naacl-industry.19

Semantically-Prompted Language Models Improve Visual Descriptions

Michael Ogezi, Bradley Hauer, Grzegorz Kondrak

Comments Published at NAACL 2024. See https://aclanthology.org/2024.findings-naacl.267/

Journal ref In Findings of the Association for Computational Linguistics: NAACL 2024, pages 4285-4302

Does Prompt Formatting Have Any Impact on LLM Performance?

Jia He, Mukund Rungta, David Koleczek, Arshdeep Sekhon, Franklin X Wang, Sadid Hasan

Comments Submitted to NAACL 2025

Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study

Yinghao Li, Haorui Wang, Chao Zhang

Comments 23 pages, 5 figures, 4 tables, in NAACL 2024

CERET: Cost-Effective Extrinsic Refinement for Text Generation

Jason Cai, Hang Su, Monica Sunkara, Igor Shalyminov, Saab Mansour

Comments The source code and data samples are released at https://github.com/amazon-science/CERET-LLM-refine

Journal ref Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Change

Francesco Periti, Nina Tahmasebi

Comments Submitted to NAACL 2024

Journal ref https://aclanthology.org/2024.naacl-long.240/